查询词典 optimization

For the single objective optimization, the decomposition and coordination method is adopted to build the decomposition and coordination model according to the existing sub-area division conditions of power networks. Then using the Augmented Lagrange method, the minimization problem of decomposition and coordination model can be changed to the saddle point problem of augmented Lagrangian function. Finally, the so called auxiliary problem principle is selected to decompose variables as well as the functions. This transforms the voltage and reactive optimization problem of the wholenetworks to some sub-problems in some sub-areas.

对于单目标无功电压优化，根据实际电网分区情况，采用分解协调法复制各分区的边界节点，建立分解协调模型，采用增广拉格朗日法将求分解协调模型的极小值问题转化为求增广拉格朗日函数的鞍点问题，然后采用辅助问题原理分解变量和增广拉格朗日函数，从而将全网无功电压优化问题分解为多个分区的分布式并行优化问题。

And the necessary of off lattice model and simplified energy function in protein folding is get. Then energy computation of protein folding process is designed and implemented. Secondly, with the characteristics of robustness and the ability of searching the better optimization, genetic algorithm, ant colony optimization algorithm and particle swarm algorithm are researched.

基于这个问题，主要在以下几个方面进行研究：首先，分析蛋白质折叠模型和能量优化函数，得出蛋白质非格点模型和简化能量函数在蛋白质折叠研究中的必要性，并设计实现基于非格点模型的蛋白质折叠的能量计算模块。

This paper presents an efficient optimization algorithm and complicated code for Airciraft Landing Scheduling Problem,Based on Depth-first-search implicit emumeration algorithm,subject to MPS limiting,position lock limiting and optimization depth limiting.

以深度优先搜索的隐枚举算法为基础，结合 MPS约束、位置冻结限制、优化深度限制，使用复杂的软件编码实现了特定于飞机着陆调度问题的优化排序算法。

To solve the optimization problems, apply the DCA （difference of convex functions algori-thms） which is a general framework for nonconvex continuous optimization. This leads to a successive linear programming algorithm with finite convergence.

为解决优化问题，应用了突函数差异算法（difference of convex functions algorithms，DCA）这一进行非突连续优化的通用框架，致使连续线性规划算法有限收敛。

An optimization method is proposed to solve steady-state optimization problems by linear approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行线性逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

An optimization method is proposed to solved steady-state optimization problems by quadratic approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行二次逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

Similar to the reasoning of linear optimization non-linear model optimization problem Can be viewed as a mixed—integer programming problem.

对非线性模型，结合问题提出了基于改进遗传算法的优化方法。

The third chapter constructs a derivative-free optimization method for linear equality constrained optimization problem and gives the proofs of the global convergence.

第三章提出了线性等式约束最优化问题的非单调无导数优化算法，并证明了这种算法的全局收敛性。

The linear multi goals optimization mathematics model is adopted, and the optimization design on PVC heat stabilizing system is carried out.

采用线性多目标优化数学模型，对PVC多元复合热稳定体系的配方进行优化设计

The traditional training methods of Gaussian Mixture Model are sensitive to the initial model parameters, which often leads to a local optimal parameter in practice. To resolve this problem, a new GMM optimization method was proposed based on Particle Swarm Optimization.

为了解决传统高斯混合模型对初值敏感，在实际训练中极易得到局部最优参数的问题，提出了一种采用微粒群算法优化GMM参数的新方法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。